Incorporating fuzzy set methodologies in a DBMS repository for the application domain of GIS
作者:
Emmanuel Stefanakis,
Michael Vazirgiannis,
Timos Sellis,
期刊:
International Journal of Geographical Information Science
(Taylor Available online 1999)
卷期:
Volume 13,
issue 7
页码: 657-675
ISSN:1365-8816
年代: 1999
DOI:10.1080/136588199241058
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
It has been recently recognized that fuzzy set theory provides useful concepts and tools for both the representation and analysis of the uncertainty related to geographical data. Hence the incorporation of fuzzy set methodologies into a DBMS repository for the application domain of GIS should be beneficial and will improve its level of intelligence. Focusing in this area the paper addresses both a representation and a reasoning issue. Specifically, it extends a general spatial data model to deal with the uncertainty of geographical entities, and shows how the standard data interpretation operations available in GIS packages may be extended to support the fuzzy spatial reasoning. Representative geographical operations, suchas the fuzzy overlay, fuzzy distance and fuzzy select, are examined, while several real world examples are given.
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